app.py

import gradio as gr
from transformers import pipeline
import fitz  # PyMuPDF for PDF reading

# Summarizer model
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")

def summarize_pdf(pdf_file):
    if pdf_file is None:
        return "Please upload a PDF file."

    # Reading PDF
    doc = fitz.open(pdf_file.name)
    text = ""
    for page in doc:
        text += page.get_text()

    if len(text) < 100:
        return "PDF me enough text nahi mila."

    # Summarization
    summary = summarizer(text, max_length=200, min_length=50, do_sample=False)
    return summary[0]["summary_text"]

# Gradio UI
interface = gr.Interface(
    fn=summarize_pdf,
    inputs=gr.File(label="Upload PDF here"),
    outputs="text",
    title="AI PDF Notes & Summary Maker",
    description="Upload any PDF and get instant summary."
)

interface.launch()